Researchers at KCIST study the interaction between humans and machines. A major goal is the design and development of human-machine interfaces for different application areas, amongst others:

  • automatic language detection and translation
  • cognitive systems to support the surgeon
  • users in interaction with hand-held power tools
  • driver monitoring and driver assistance systems
  • assistive technology for people with impairment, in particular people with seeing impairments
  • interactive systems for indexing and searching in multimedia content

 

For more information on the Lecture Translator go to the LT-Webpage.

 

 

Robotic and computer assisteted surgery

 

Automatic Power Tool Test Bench and User-Interaction Test Bench for Investigation of the User-Machine Interaction at KIT Further information

 

Major projects:

- BMBF OML - Organic Machine Learning

- DFG Validierungsumgebung für handgehaltene Geräte  

 

Other interesting links:

- Study Centre for the Visually Impaired (SZS)

 

Lecture Translator